Triple
T21303972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Audium Records |
E525142
|
entity |
| Predicate | musicStyleOrientation |
P33180
|
FINISHED |
| Object | traditional country |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: traditional country | Statement: [Audium Records, musicStyleOrientation, traditional country]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicStyleOrientation Context triple: [Audium Records, musicStyleOrientation, traditional country]
-
A.
styleOfMusic
chosen
Indicates the musical genre or stylistic category that characterizes a piece of music, artist, or performance.
-
B.
musicStyleShiftToward
Indicates a change in musical style or genre moving in the direction of another specified style.
-
C.
musicGenreRegion
Indicates the association between a music genre and the geographic region where it originates, is most prevalent, or is culturally significant.
-
D.
musicGenreCategory
Indicates that one entity is a broader music genre category under which the other music genre is classified.
-
E.
musicGenreBroad
Indicates that one music genre is a broader, more general category that encompasses another, more specific music genre.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b518b8948190ad69cf9a8784d397 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75aa212388190b367290526feb380 |
completed | April 21, 2026, 11:08 a.m. |
| PD | Predicate disambiguation | batch_69e61612ab748190a72b8703b938abcb |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 4:05 p.m.